BATT | LITP | BATT / LITP | |
Gain YTD | 14.432 | 4.491 | 321% |
Net Assets | 63.9M | 16.2M | 394% |
Total Expense Ratio | 0.59 | 0.65 | 91% |
Turnover | 69.00 | 49.00 | 141% |
Yield | 2.98 | 7.64 | 39% |
Fund Existence | 7 years | 2 years | - |
BATT | LITP | |
---|---|---|
RSI ODDS (%) | 2 days ago79% | 2 days ago90% |
Stochastic ODDS (%) | 2 days ago87% | 2 days ago90% |
Momentum ODDS (%) | 2 days ago87% | 2 days ago78% |
MACD ODDS (%) | 2 days ago89% | 2 days ago65% |
TrendWeek ODDS (%) | 2 days ago88% | 2 days ago85% |
TrendMonth ODDS (%) | 2 days ago85% | 2 days ago81% |
Advances ODDS (%) | 2 days ago88% | 16 days ago83% |
Declines ODDS (%) | 18 days ago90% | 3 days ago90% |
BollingerBands ODDS (%) | 2 days ago85% | 2 days ago90% |
Aroon ODDS (%) | 2 days ago85% | 2 days ago84% |
A.I.dvisor indicates that over the last year, LITP has been closely correlated with SQM. These tickers have moved in lockstep 77% of the time. This A.I.-generated data suggests there is a high statistical probability that if LITP jumps, then SQM could also see price increases.
Ticker / NAME | Correlation To LITP | 1D Price Change % | ||
---|---|---|---|---|
LITP | 100% | +6.40% | ||
SQM - LITP | 77% Closely correlated | +6.71% | ||
ALB - LITP | 77% Closely correlated | +7.57% | ||
LAR - LITP | 73% Closely correlated | +9.06% | ||
PLL - LITP | 71% Closely correlated | +13.30% | ||
LAC - LITP | 65% Loosely correlated | +8.82% | ||
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